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Title: Sparse Coding Enables the Reconstruction of High-Fidelity Images and Video from Retinal Spike Trains

Conference ·

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
89233218CNA000001
OSTI ID:
1485372
Report Number(s):
LA-UR-18-31509
Resource Relation:
Conference: ICONS '18 Proceedings of the International Conference on Neuromorphic Systems Article No. 8 ; 2018-07-23 - 2018-07-26 ; Knoxville, Tennessee, United States
Country of Publication:
United States
Language:
English

References (9)

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information journal February 2006
Sparse Coding via Thresholding and Local Competition in Neural Circuits journal October 2008
Decoding Visual Information From a Population of Retinal Ganglion Cells journal November 1997
Compressed sensing journal April 2006
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries journal January 2006
Correlated Firing Improves Stimulus Discrimination in a Retinal Model journal November 2004
Stimulus-Specific Oscillations in a Retinal Model journal September 2004
See globally, spike locally: oscillations in a retinal model encode large visual features journal August 2006
Adaptive compressive sensing for low power wireless sensors conference May 2014